Quant Trading Using Machine Learning

Play the Markets Like a Pro After 11 Hours of Integrating Machine Learning into Your Investment Strategies

Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This course will introduce you to machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, while teaching you how to apply these techniques to quantitative trading. Using Python libraries, you'll discover how to build sophisticated financial models that will better inform your investing decisions. Ideally, this one will buy itself back and then some!

Access 64 lectures & 11 hours of content 24/7

Get a crash course in quantitative trading from stocks & indices to momentum investing & backtesting

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

Details & Requirements

Length of time users can access this course: lifetime access

Access options: web streaming, mobile streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels, but working knowledge of Python would be helpful

Learn By Example: Statistics and Data Science in R

R is a programming language and software environment for statistical computing and graphics that is widely used among statisticians and data miners for data analysis. In this course, you'll get a thorough run-through of how R works and how it's applied to data science. Before you know it, you'll be crunching numbers like a pro, and be better qualified for many lucrative careers.

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Details & Requirements

Length of time users can access this course: lifetime access

Access options: web streaming, mobile streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels

Compatibility

Internet required

Course Outline

Introduction

You, This course and Us (2:32)

Top Down vs Bottoms Up : The Google vs McKinsey way of looking at data (12:58)

R and RStudio installed (5:10)

The 10 second answer : Descriptive Statistics

Descriptive Statistics : Mean, Median, Mode (10:07)

Our first foray into R : Frequency Distributions (6:07)

Draw your first plot : A Histogram (3:11)

Computing Mean, Median, Mode in R (2:21)

What is IQR (Inter-quartile Range)? (8:08)

Box and Whisker Plots (3:11)

The Standard Deviation (10:24)

Computing IQR and Standard Deviation in R (6:06)

Inferential Statistics

Drawing inferences from data (3:25)

Random Variables are ubiquitous (16:54)

The Normal Probability Distribution (9:31)

Sampling is like fishing (6:14)

Sample Statistics and Sampling Distributions (9:25)

Case studies in Inferential Statistics

Case Study 1 : Football Players (Estimating Population Mean from a Sample) (6:49)

Learn By Example: Hadoop & MapReduce for Big Data Problems

Discover Mass Data Processing Methods by Using the Leading Data Frameworks

Big Data sounds pretty daunting doesn't it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, you'll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.

Access 71 lectures & 13 hours of content 24/7

Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud

Understand HDFS, MapReduce & YARN & their interaction

Use MapReduce to recommend friends in a social network, build search engines & generate bigrams

Chain multiple MapReduce jobs together

Write your own customized partitioner

Learn to globally sort a large amount of data by sampling input files

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Byte Size Chunks: Java Object-Oriented Programming & Design

Conquer Java with Just 7 Hours of Premium Instruction

Java seems an appropriate name for a language that seems so dense, you may need a cuppa joe after 10 minutes of self-study. Luckily, you can learn all you need to know in this short course. You'll scale the behemoth that is object-oriented programming, mastering classes, objects, and more to conquer a language that powers everything from online games to chat platforms.

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

Details & Requirements

Length of time users can access this course: lifetime access

Access options: web streaming, mobile streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels, but basic knowledge of Java is suggested

An Introduction to Machine Learning & NLP in Python

Are you familiar with self-driving cars? Speech recognition technology? These things would not be possible without the help of Machine Learning--the study of pattern recognition and prediction within the field of computer science. This course is taught by Stanford-educated, Silicon Valley experts that have decades of direct experience under their belts. They will teach you, in the simplest way possible (and with major visual techniques), to put Machine Learning and Python into action. With these skills under your belt, your programming skills will take a whole new level of power.

Get introduced to Machine Learning w/ 14.5 hours of instruction

Learn from a team w/ decades of practical experience in quant trading, analytics & e-commerce

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

Details & Requirements

Length of time users can access this course: lifetime

Access options: web streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels, but some knowledge of Python is suggested

Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

Use Python & The Twitter API to Build Your Own Sentiment Analyzer

Sentiment Analysis or Opinion Mining is a field of Neuro-linguistic Programming (NLP) that aims to extract subjective information like positive/negative, like/dislike, emotional reactions, and the like. It's an essential component to Machine Learning as it provides valuable training data to a machine. Over this course, you'll learn real examples why Sentiment Analysis is important and how to approach specific problems using Sentiment Analysis.

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

Details & Requirements

Length of time users can access this course: lifetime

Access options: web streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels, but some experience with Python is suggested

Byte-Sized-Chunks: Decision Trees and Random Forests

Decision trees and random forests are two intuitive and extremely effective Machine Learning techniques that allow you to better predict outcomes from a selected input. Both methods are commonly used in business, and knowing how to implement them can put you ahead of your peers. In this course, you'll learn these techniques by exploring a famous (but morbid) Machine Learning problem: predicting the survival of a passenger on the Titanic.

Understand the risks of overfitting & how random forests help overcome them

Identify the use-cases for decision trees & random forests

Use provided source code to build decision trees & random forests

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

An Introduction To Deep Learning & Computer Vision

Deep Learning is an exciting branch of Machine Learning that provide solutions for processing the high-dimensional data produced by Computer Vision. This introductory course brings you into the complex, abstract world of Computer Vision and artificial neural networks. By the end, you'll have a solid foundation in a core principle of Machine Learning.

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Details & Requirements

Length of time users can access this course: lifetime

Access options: web streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels, but some knowledge of Python is suggested

Byte-Sized-Chunks: Recommendation Systems

Understand How Online Recommendations Work by Building a Movie App

Assuming you're an internet user (which seems likely), you use or encounter recommendation systems all the time. Whenever you see an ad or product that seems eerily in tune with whatever you were just thinking about, it's because of a recommendation system. In this course, you'll learn how to build a variety of these systems using Python, and be well on your way to a high-paying career.

Access 20 lectures & 4.5 hours of content 24/7

Build Recommendation Engines that use content based filtering to find products that are most relevant to users

Discover Collaborative Filtering, the most popular approach to recommendations

Learn recommendation systems by building a movie-recommending app in Python

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

Details & Requirements

Length of time users can access this course: lifetime

Access options: web streaming

Certification of completion not included

Redemption deadline: redeem your code within 30 days of purchase

Experience level required: all levels, but some knowledge of Python is suggested

From 0 to 1: Learn Python Programming

Make Quick Work of This Popular, Powerful Programming Language in 10.5 Hours

Python's one of the easiest yet most powerful programming languages you can learn, and it's proven its utility at top companies like Dropbox and Pinterest. In this quick and dirty course, you'll learn to write clean, efficient Python code, learning to expedite your workflow by automating manual work, implementing machine learning techniques, and much more.

Dive into Python w/ 10.5 hours of content

Acquire the database knowledge you need to effectively manipulate data

Learn how to scrape websites like the NYTimes & Washington Post using Beautiful Soup

Complete drills to consolidate your newly acquired knowledge

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.